PSOpc

弹头温度检测程序，通过检测光纤的熔断判断弹头表面的温度情况。(Warhead temperature detection program, by detecting the optical fiber fusing surface temperatures judgment warhead.)

最小凸包的实现程序，用matlab编程的源码，使用的不是matlab自带的凸包函数，而是自己编的，有详细的运算流程图，一看就懂，main为主程序，ConvexHull为函数。(ConvexHull，matlab，with Flow Diagram)

说明：  this .m file is about the gauss-newton iteration

这本书的名字叫《matlab基础与编程（第二版）》很适合matlab初学者(This book was called “matlab-based and Programming (2nd Edition”very suitable for matlab beginners)

matlab 中simulink基础，幻灯片格式(matlab in simulink base, slide format)

程序对天线中的一种重要类型： 半波、全波、三倍半波天线波瓣图 进行了仿真和三维成像。有助于对天线中波瓣图的理解。(Program is an important antenna types: half-wave, full-wave, three times the half-wave antenna lobe pattern simulation and three-dimensional imaging. Contribute to the wave antenna lobe pattern of understanding.)

数值计算方法 使用matlab编程 数值计算方法(Numerical methods using numerical methods matlab programming)

图像处理中经典的PCA算法，几乎每一步的降维之前都要用到 实用性很强(PCA classical image processing algorithms, almost every step of dimension reduction should be used in very practical before)

说明：  现代海战需要功能综合的作战平台和性能优良的 武器系统来应对，海战场复杂多维的环境因素对海上 兵力运用有很大的影响。因此，如何准确建立海战场 的评估指标体系并进行科学评判是指挥员做出决策的 重要前提。目前，海战场环境评估的方法有层次分析 法、模糊评判法、指数法等11’21。针对这些方法主观性 比较强等不足，本文引入云重心的评估方法简单易行， 科学有效，可操作性强。 基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

说明：  径向基神经网络代理模型训练与预测，本实例以地下水位的预测为例进行说明(The training and prediction of agent model based on radial basis function neural network is illustrated by the example of groundwater level prediction)